Neuro-fuzzy ensemble approach for microarray cancer gene expression data analysis

Zhenyu Wang; Vasile Palade; Yong Xu

doi:10.1109/ISEFS.2006.251144

Neuro-fuzzy ensemble approach for microarray cancer gene expression data analysis

Zhenyu Wang, Vasile Palade, Yong Xu

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

72 Citations (Scopus)

Abstract

A Neuro-Fuzzy Ensemble model (NFE) is proposed in this paper for analysing the gene expression data from microarray experiments. The proposed approach was tested on three benchmark cancer gene expression data sets. Experimental results show that our NFE model can be used as an efficient computational tool for microarray data analysis. In addition, compared to some current most widely used approaches, Neuro-Fuzzy(NF)-based models not only supply good classification results, but their behavior can also be explained and interpreted in human understandable terms, which provides the researchers with a better understanding of the data.

Original language	English
Title of host publication	Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06
Publisher	IEEE
Pages	241-246
Number of pages	6
ISBN (Print)	0780397193, 9780780397194
DOIs	https://doi.org/10.1109/ISEFS.2006.251144
Publication status	Published - 30 Nov 2006
Externally published	Yes
Event	2006 International Symposium on Evolving Fuzzy Systems, EFS'06 - Lake District, United Kingdom Duration: 7 Sept 2006 → 9 Sept 2006

Conference

Conference	2006 International Symposium on Evolving Fuzzy Systems, EFS'06
Country/Territory	United Kingdom
City	Lake District
Period	7/09/06 → 9/09/06

ASJC Scopus subject areas

Artificial Intelligence
Software
Applied Mathematics
Theoretical Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ISEFS.2006.251144

Cite this

Wang, Z, Palade, V & Xu, Y 2006, Neuro-fuzzy ensemble approach for microarray cancer gene expression data analysis. in Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06., 4016708, IEEE, pp. 241-246, 2006 International Symposium on Evolving Fuzzy Systems, EFS'06, Lake District, United Kingdom, 7/09/06. https://doi.org/10.1109/ISEFS.2006.251144

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AB - A Neuro-Fuzzy Ensemble model (NFE) is proposed in this paper for analysing the gene expression data from microarray experiments. The proposed approach was tested on three benchmark cancer gene expression data sets. Experimental results show that our NFE model can be used as an efficient computational tool for microarray data analysis. In addition, compared to some current most widely used approaches, Neuro-Fuzzy(NF)-based models not only supply good classification results, but their behavior can also be explained and interpreted in human understandable terms, which provides the researchers with a better understanding of the data.

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ER -

Neuro-fuzzy ensemble approach for microarray cancer gene expression data analysis

Abstract

Conference

ASJC Scopus subject areas

UN SDGs

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